Evgenia Dolgova

Profile

My research applies dynamic social network analysis to study innovation. Zooming on the antecedents of innovation, I explore how individual and group characteristics affect the evolution of relationships in innovating teams, and how this dynamics affects important group outcomes such as team performance. This research steam contributes to innovation literature, emphasizing that individuals and their interactions matter for organizational performance.

Zooming out, I look on the consequences of innovation and investigate how emergent technologies impact traditional institutions. Applying complexity lens, dynamic analysis of social networks and semantic network analysis, I study how new technologies propagate through society, taking massive open online courses and nanotechnology as examples. I am interested in how motivation and actions of various stakeholders result in systemic change, and ultimately adoption - or rejection - of new technology. This research stream extends organizational theory by focusing on the interplay between new technologies and institutional arrangements.

To shed light on these phenomena, I apply a broad repertoire of methods, from stochastic actor-based modeling, to social network analysis, to natural language processing.

Professional experience

Academic Researcher

• Erasmus University Rotterdam
  
• RSM - Rotterdam School of Management
  
• Department of Business-Society Management

(external) researcher

• Erasmus University Rotterdam
  
• RSM - Rotterdam School of Management
  
• Department of Strategic Management and Entrepreneurship